Computer Vision in Control Systems-2 Innovations in Practice / [electronic resource] :
edited by Margarita N. Favorskaya, Lakhmi C. Jain.
- XVI, 295 p. 139 illus., 72 illus. in color. online resource.
- Intelligent Systems Reference Library, 75 1868-4394 ; .
- Intelligent Systems Reference Library, 75 .
Computer Vision in Advanced Control Systems: Innovations in Practice -- Human Action Recognition: Contour-Based and Silhouette-based Approaches -- The Application of Machine Learning Techniques to Real Time Audience Analysis Sy -- Panorama Construction from Multi-view Cameras in Outdoor Scenes -- A New Real-Time Method of Contextual Image Description and Its Application in Robot Navigation and Intelligent Control -- Perception of Audio Visual Information for Mobile Robot Motion Control Systems -- Adaptive Surveillance Algorithms Based on the Situation Analysis -- Enhanced, Synthetic and Combined Vision Technologies -- Navigation of Autonomous Underwater Vehicles Using Acoustic and Visual Data Processing -- Efficient Denoising Algorithms for Intelligent Recognition Systems -- Image Segmentation Based on Two-dimensional Markov Chains.
The research book is focused on the recent advances in computer vision methodologies and innovations in practice. The Contributions include: � Human Action Recognition: Contour-Based and Silhouette-based Approaches. � The Application of Machine Learning Techniques to Real Time Audience Analysis System. � Panorama Construction from Multi-view Cameras in Outdoor Scenes. � A New Real-Time Method of Contextual Image Description and Its Application in Robot Navigation and Intelligent Control. � Perception of Audio Visual Information for Mobile Robot Motion Control Systems. � Adaptive Surveillance Algorithms Based on the Situation Analysis. � Enhanced, Synthetic and Combined Vision Technologies for Civil Aviation. � Navigation of Autonomous Underwater Vehicles Using Acoustic and Visual Data Processing. � Efficient Denoising Algorithms for Intelligent Recognition Systems. � Image Segmentation Based on Two-dimensional Markov Chains. The book is directed to the PhD students, professors, researchers and software developers working in the areas of digital video processing and computer vision technologies.